Applied Data Scientist
Core
Develop and implement advanced machine learning models and algorithms, including LLM-based agents, to enhance investigative analytics software solutions for security and crime prevention.
Role type
Senior Applied Data Scientist (LLM & Agentic AI)
Builds
Production machine learning models and agentic AI systems for investigative analytics
Domain
Security technology, AI, Large Language Models, Network Intelligence
Deliverable
production ML models
Required skills
Python, TensorFlow/PyTorch, Supervised Fine-Tuning (SFT), Parameter-Efficient Fine-Tuning (LoRA/QLoRA), Mixture of Experts (MoE), Agentic AI frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel), LLM-based agents, Multi-agent systems, Data preprocessing, Feature engineering, Model evaluation
Preferred skills
Mobile network protocols, Graph algorithms
Technologies
LangGraph, AutoGen, CrewAI, Semantic Kernel, TensorFlow, PyTorch
Responsibilities
Develop and optimize ML models including LLM applications; Design data processing pipelines; Fine-tune pre-existing models for specific domains; Conduct experiments and analyze model outputs; Stay updated with AI research advancements; Present technical findings to stakeholders
Seniority
Senior, hands-on IC
